Point prediction for the proportional hazards family based on progressive Type-II censoring with binomial removals
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 128
فایل این مقاله در 17 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JSMTA-1-1_008
تاریخ نمایه سازی: 19 اردیبهشت 1401
چکیده مقاله:
In this paper, some different predictors are presented for failure times of units censored in a progressively censored sample from proportional hazard rate models, where the number of units removed at each failure time follows a binomial distribution. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are derived. Also, the Bayesian point predictors are investigated for the failure times of units with the three common loss function. Finally, a numerical example and a Monte Carlo simulation study are carried out to compare all the prediction methods discussed in this paper.
کلیدواژه ها:
Bayesian point predictor ، Best unbiased predictor ، Binomial removal ، Conditional median predictor ، Maximum likelihood predictor ، Monte Carlo simulation ، Progressive Type-II censoring ، Proportional hazard rate model
نویسندگان
RahmatSadat Meshkat
Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran
Naeimeh Dehqani
Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran